Systems and methods for generating a chatbot are disclosed. Source data is identified. A first chunk of the source data is also identified. A first machine learning model is executed for automatically generating a first candidate question associated with the first chunk. A determination is made as to whether the first candidate question satisfies a criterion. The first candidate question is output as training data for training the chatbot in response to the determination.
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6. The method of claim 1, wherein the source data includes at least one of a text file, image file, sound file, web page, or social media post.
7. The method of claim 1, wherein the identifying includes identifying a visual cue associated with the first chunk.
8. The method of claim 7, wherein the visual cue is at least one of font size, font type, font bold level, or data spacing.
10. The method of claim 9, wherein the action is selecting one of the first chunk over the second chunk for associating with the first candidate question.
11. The method of claim 9, wherein the action is merging the first chunk and the second chunk for generating a merged chunk, and associating the merged chunk with the first candidate question.
19. The system of claim 14, wherein the source data includes at least one of a text file, image file, sound file, web page, or social media post.
20. The system of claim 14, wherein the instructions that cause the processor to identify include instructions that cause the processor to identify a visual cue associated with the first chunk.
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August 16, 2022
June 13, 2023
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